The Role of Artificial Intelligence in Advancing Biosensor Technology: Past, Present, and Future Perspectives

Area of Science:

• Biotechnology
• Computer Science
• Materials Science

Background:

• Biosensor technology has evolved significantly, with artificial intelligence (AI) now playing a crucial role.
• AI integration offers advanced data processing, real-time decision-making, and adaptive sensing.
• AI also drives innovation in biosensor material design, moving beyond traditional trial-and-error approaches.

Purpose of the Study:

• To explore the transformative impact of AI on biosensor technology.
• To provide a comprehensive overview of AI in biosensors, covering historical development, current status, and future prospects.
• To analyze AI-driven innovations and their effect on sensor performance and applications.

Main Methods:

• Review of historical development of AI and biosensor technology.
• Comparative analysis of AI integration in optical, fluorometric, and electrochemical biosensors.
• Discussion on the role of advanced materials in AI-assisted biosensor development.

Main Results:

• AI significantly improves biosensor performance through pattern recognition and predictive modeling.
• AI facilitates innovation in advanced materials for biosensing applications.
• AI-assisted biosensors show broad applications in healthcare, environmental monitoring, food safety, and agriculture.

Conclusions:

• AI is revolutionizing biosensor technology, enhancing capabilities across various domains.
• Future research should address challenges, ethical considerations, and opportunities in AI-assisted biosensors.
• This review serves as a comprehensive resource for researchers in the field.